DOMAIN LABS · SPATIAL 3D · SPATIAL 3D LAB REVIEWS SCENES AND ANNOTATIONS, ROUTES QUESTIONABLE OUTPUTS TO SPECIALISTS, AND EXPORTS A DELIVERY PACKET WITH PROVENANCE INTACT.

Every capture. Every signature.

Bring scenes, maps, transforms, and quality rules into one workflow. The lab flags alignment or annotation problems, gets the right reviewer involved, and keeps the delivery record tied to the source data.

ACCEPTED FORMATS
Point clouds / imagery / scene metadata

Start with the files and records the team already uses.

DECISION OWNER
3D data specialist

Keep the right specialist or approver on the work that needs judgment.

OUTCOME
Delivery packet

Hand off one reviewed record instead of scattered notes.

HOW IT WORKS

Three steps. Scene data in. Specialist review on alignment and quality issues. Delivery packet out.

Bring in the work. Standardize the step. Hand off a clean result.

STEP 01
WHAT WE STANDARDIZE

Bring in the work

Keep scene, alignment, and delivery decisions traceable from capture through handoff.

STEP 02
WHAT WE REVIEW

spatial outputs feed safety, customer delivery, or downstream model training and the provenance has to survive inspection.

Upload the scene data set, inspect flagged cases, and export one delivery packet.

STEP 03
WHAT WE SIGN

Leave with a clean result

Get one delivery packet with the decision, evidence, and status attached.

WHY IT EXISTS

The reason a spatial 3d team buys the lab.

Use this when spatial outputs feed safety, customer delivery, or downstream model training and the provenance has to survive inspection.

THE PROBLEM

Use this when spatial outputs feed safety, customer delivery, or downstream model training and the provenance has to survive inspection.

THE REVIEW MOTION

Scene data in. Specialist review on alignment and quality issues. Delivery packet out.

THE OUTCOME

Capture lineage, reviewer notes, checksums, and delivery status stay in one packet.

WHY TEAMS BUY IT

Bring scenes, maps, transforms, and quality rules into one workflow. The lab flags alignment or annotation problems, gets the right reviewer involved, and keeps the delivery record tied to the source data.

FOCUS AREAS · THREE WINDOWS

The three places this lab does the work.

Scene data in. Specialist review on alignment and quality issues. Delivery packet out.

AREA · 01

Scene review

Start with the real scene data set and the rules that matter.

  • Bring in Point clouds / imagery / scene metadata without stripping away context.
  • Keep project constraints visible from the first step.
  • Give the team one clear place to start the review.
AREA · 02

Alignment review

Send the hard calls to the 3D data specialist.

  • Surface the cases that need human judgment.
  • Keep reviewer notes attached to the decision.
  • Make approvals, overrides, and escalations easy to explain later.
AREA · 03

Delivery approval

Hand off a delivery packet the next team can trust.

  • Export lineage, notes, and approval status together.
  • Save repeat failures as checks for the next run.
  • Deliver one clean packet for the next team or gate.
WORKFLOW · THREE STAGES

The walkthrough your team runs.

Capture lineage, reviewer notes, checksums, and delivery status stay in one packet.

STAGE · 01
01

Bring in the scene data set

Load the work, context, and rules into one record.

  • ·Use Point clouds / imagery / scene metadata.
  • ·Capture the project rules before review starts.
  • ·Keep the original context attached.
STAGE · 02
02

Review what needs judgment

Score the work and send the decisions that need judgment to the 3D data specialist.

  • ·Highlight what can move fast and what cannot.
  • ·Record reviewer notes and final calls.
  • ·Keep the audit trail readable.
STAGE · 03
03

Export the delivery packet

Package the approved result for the next team, approval gate, or audit request.

  • ·Bundle the evidence with the decision.
  • ·Save the same mistake as a future check.
  • ·Hand off a packet someone else can inspect.
STARTS FROM

A model already suited to the workflow.

STARTER MODEL
OpenScene
Starts with OpenScene-style and other open 3D models already suited to scene review and alignment checks.

Reviewer decisions, delivery issues, and accepted or rejected scenes improve the lab on your own 3D programs.

AuraOne can help structure the first delivery workflow. Your 3D team keeps control of quality decisions.

READING · SPATIAL 3D · LIVE
00·00 INTAKEUSE THIS WHEN SPATIAL OUTPUTS FEED SSIGN 04·18
REVIEWER · EVIDENCE · OUTPUT

The work and the people who sign for it.

Specialist reviewers, the evidence they keep, and the result the next team consumes.

REVIEWER TYPE
3D data specialist
ENTRY MOTION
Scene data in. Specialist review on alignment and quality issues. Delivery packet out.
EVIDENCE PATTERN
Capture lineage, reviewer notes, checksums, and delivery status stay in one packet.
OUTPUT SUMMARY
Get one delivery packet with the decision, evidence, and status attached.
PAINFUL STEP
spatial outputs feed safety, customer delivery, or downstream model training and the provenance has to survive inspection.
WHAT YOU KEEP
Reviewed scene data, delivery policy, and tuned weights your team can keep.
↳ WORKFLOW ARCHETYPES
scene reviewalignment reviewdelivery approval
CONNECTED MODULES · INSIDE THE OS

What this lab plugs into.

The spatial 3d lab does not run alone. Each captured decision feeds into the AuraOne modules that govern release, memory, and review — one record, one standard, one packet.

01 · MODULE

AI Labs

02 · MODULE

Workforce

03 · MODULE

Control Center

04 · MODULE

Regression Bank

ON THE RECORD · A SPATIAL 3D PROGRAM

“The review used to be the bottleneck. Now it’s the part of the workflow that moves the fastest. The record travels with the work.”

Program lead · a spatial 3d program
WHAT YOU KEEP

Your work. Your data. Your AI.

WORKFLOW
Real cases

Files, batches, and cases your team already runs. Not a demo.

DATA
Your tenant

In your VPC. Your keys. Your retention policy.

WEIGHTS
Yours to keep

Reviewed scene data, delivery policy, and tuned weights your team can keep.

RELATED LABS

Same loop. Different wavelength.

SPATIAL 3D

Bring the workflow you want to own.

We'll map the workflow. Pick the starting model. Standardize the step. Hand you the result.

↳ STARTS FROM

OpenScene

↳ LEAVES WITH

Reviewed scene data, delivery policy, and tuned weights your team can keep.

Spatial 3D | AuraOne Domain Labs | AuraOne